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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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employment: as soon as possible Duration of employment: 3 years Working time: 29 h 52 min (75 %) Application deadline: 2025-07-30 Code number: 326-25 Your main tasks Participation in the DFG-funded project
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personal and professional growth, keeping employees up-to-date with the latest research and technology. Interdisciplinary collaboration: Our employees have the opportunity to collaborate with leading experts
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collaboration, transdisciplinary cooperation with practice and an overall dynamic development characterize its research profile in the fields of education, culture, political science, management and technology as
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of Excellence PhoenixD. Who are we looking for? The prerequisite for employment is a university science degree in physics/optical technologies or engineering. In the case of proven technical expertise (in
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electronics engineers • Participation in conferences The duration of the post-doc position is 2 years, for the group leader up to 6 years, for the Ph.D. student 4 years. Application Materials Required: Further
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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other chemicals through electrical energy supplied to electrochemical / electro-biotechnological reactor concepts. Such concepts aim at replacing fossil raw materials in value added chains. The advertised
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling